Systematic Assessment of Analytical Methods for Drug Sensitivity Prediction from Cancer Cell Line Data

Large-scale pharmacogenomic screens of cancer cell lines have emerged as an attractive pre-clinical system for identifying tumor genetic subtypes with selective sensitivity to targeted therapeutic strategies. Application of modern machine learning approaches to pharmacogenomic datasets have demonstr...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Pacific Symposium on Biocomputing 2014 2014, p.63-74
Hauptverfasser:	Neto, Elias, Margolin, Adam, Friend, Stephen, Jang, In, Guinney, Justin
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Cell Line, Tumor Computational Biology Databases, Genetic - statistics & numerical data Drug Resistance, Neoplasm - genetics Gene Expression Profiling - statistics & numerical data Humans Models, Genetic Neoplasms - drug therapy Neoplasms - genetics Pharmacogenetics - statistics & numerical data Regression Analysis
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!